Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan

The Logistic model is frequently used for modeling transport modal shift. Logarithmic transformation together with linear regression are usually used to calibrate the model. Howeve1; the problem with logarithmic transformation is that a large difference between data sets of a few thousand times w...

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Main Authors:	Siti Hajar, Riza Atiq, Amiruddin Ismail, Hassan Basri
Format:	Article
Published:	2003
Online Access:	http://journalarticle.ukm.my/1414/ http://journalarticle.ukm.my/1414/

id	ukm-1414
recordtype	eprints
spelling	ukm-14142011-10-11T03:45:16Z http://journalarticle.ukm.my/1414/ Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan Siti Hajar, Riza Atiq, Amiruddin Ismail, Hassan Basri, The Logistic model is frequently used for modeling transport modal shift. Logarithmic transformation together with linear regression are usually used to calibrate the model. Howeve1; the problem with logarithmic transformation is that a large difference between data sets of a few thousand times would become small. Therefore, genetic algorithm is used to calibrate the Logistic model because of its ability to solve complex problems efficiently and suitability for solving multi variate non-linear problems. In this study, genetic algorithm is based to calibrate modal shift model from private cars to buses. The result of this study has shown that the calibrated model is highly correlated to the actual modal shift with correlation greater than 98% 2003 Article PeerReviewed Siti Hajar, and Riza Atiq, and Amiruddin Ismail, and Hassan Basri, (2003) Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan. Jurnal Kejuruteraan, 15 . http://www.ukm.my/jkukm/index.php/jkukm
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
description	The Logistic model is frequently used for modeling transport modal shift. Logarithmic transformation together with linear regression are usually used to calibrate the model. Howeve1; the problem with logarithmic transformation is that a large difference between data sets of a few thousand times would become small. Therefore, genetic algorithm is used to calibrate the Logistic model because of its ability to solve complex problems efficiently and suitability for solving multi variate non-linear problems. In this study, genetic algorithm is based to calibrate modal shift model from private cars to buses. The result of this study has shown that the calibrated model is highly correlated to the actual modal shift with correlation greater than 98%
format	Article
author	Siti Hajar, Riza Atiq, Amiruddin Ismail, Hassan Basri,
spellingShingle	Siti Hajar, Riza Atiq, Amiruddin Ismail, Hassan Basri, Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan
author_facet	Siti Hajar, Riza Atiq, Amiruddin Ismail, Hassan Basri,
author_sort	Siti Hajar,
title	Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan
title_short	Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan
title_full	Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan
title_fullStr	Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan
title_full_unstemmed	Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan
title_sort	penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan
publishDate	2003
url	http://journalarticle.ukm.my/1414/ http://journalarticle.ukm.my/1414/
first_indexed	2023-09-18T19:33:17Z
last_indexed	2023-09-18T19:33:17Z
_version_	1777405104157097984

Penggunaan algoritma genetik bagi menentukur model anjakan mod pengangkutan

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